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It also means that the type of jobs companies are recruiting and hiring form will continue to shift as the skillsets that are most valuable change. [7] Human resources has been identified as one of the ten industries most affected by AI. [7] It is increasingly common for companies to use AI to automate aspects of their hiring process.
AI-enabled chatbots can remove workers from the most basic and repetitive of these tasks. AI may increase the scope of work tasks where a worker can be removed from a situation that carries risk. In a sense, while traditional automation can replace the functions of a worker's body with a robot, AI effectively replaces the functions of their ...
High risk jobs were mainly lower-income jobs that required lower education levels than average. Low risk jobs were on average more skilled positions. The report found a 70% chance that high risk jobs and a 30% chance that low risk jobs would be affected by automation in the next 10–20 years. [90]
For instance, the McKinsey study showed that jobs for artists, designers, entertainers and media will increase by 8% in the U.S. Demand for technology professionals will grow by 34% by 2030 ...
#9. Surgeons, except ophthalmologists - Projected new jobs by 2032: 200 (+0.8% from 2022) - Total projected jobs in 2032: 26,800. Surgeons can benefit from AI by receiving personalized feedback on ...
‘The good news’ is that automation has tended to be ‘offset’ by new jobs, bank says Generative AI could hit 300 million jobs, Goldman Sachs says Skip to main content
AI and AI ethics researchers Timnit Gebru, Emily M. Bender, Margaret Mitchell, and Angelina McMillan-Major have argued that discussion of existential risk distracts from the immediate, ongoing harms from AI taking place today, such as data theft, worker exploitation, bias, and concentration of power. [137]
An AI-powered engine streamlines the complexity of job hunting by assessing information on job skills, salaries, and user tendencies, matching job seekers to the most relevant positions. Machine intelligence calculates appropriate wages and highlights resume information for recruiters using NLP, which extracts relevant words and phrases from text.